Dear Kingsley,
the context of my question is the following. The are of Ontologies
had encountered
a severe paradigm shift though LOD. In the old days you had plenty of design
methodologies to develop Ontologies based on first principles from scratch
(despite the fact that there was some verbal hand waving on reuse). Then
Ontologies became populated by data. In the end it was always not really
easy to explain what their difference was compared to a traditional data
schema approach. Often it felt like in the tale of the The Emperor's
New Clothes
With LOD the data are suddenly the driving force. When published they are
used to collect some ontological pieces here and there. It is obviously not
a trivial task to select this pieces properly and it calls for new
design guidelines
to form these combined ontology snippets.
What you propose is indeed somehow what I am looking for. However, your
proposal is a bit procedural and not very much declarative and
explicit. Probably
I missed the fact that Yahoo failed but I still wonder, whether
specific data repositories
can be extracted, maintained, and made explicit. In this case, they
would be data
schema repositories. It would require some manual effort but it may not even
be hard to figure out a business model for it around education and consultancy?
Many greetings,
Dieter
At 18:47 13.03.2011, Kingsley Idehen wrote:
>On 3/13/11 12:15 PM, Dieter Fensel wrote:
>>Dear all,
>>
>>for a number of projects I was searching for vocabularies/Ontologies
>>to describe linked data. Could you please recommend me places
>>where to look for them? I failed to find a convenient entrance
>>point for such
>>kind of information. I only found some scattered information here and
>>there?
>>
>>Thanks,
>>
>>Dieter
>
>Dieter,
>
>Do you mean: I would a place where I can search for vocabularies and
>assess their usage across LOD datasets? Goal being reuse of existing
>terms re. new datasets coming into the burgeoning LOD cloud?
>
>If the above is true, the you can do the following:
>
>1. Goto <http://lod.openlinksw.com>http://lod.openlinksw.com -- the
>live 15 Billion+ triples LOD Cloud Cache we maintain
>2. Enter a text pattern (with Class, Property, or Vocabulary
>discovery in mind)
>3. On receipt of the initial results page, use the Links in the
>Navigation section to filter by Type or other Attributes (so you are
>looking for Entities of type: Ontology or Class or Property
>4. Once you find one of the Entity Types above, click on the "describe" link
>5. At this point navigation should be obvious i.e. you can use
>isDefinedby to find the Ontology associated with Classes and
>Properties or use the inverse relations to find the Class and
>Properties defined by an Ontology.
>
>Hope this helps.
>
>
>--
>
>Regards,
>
>Kingsley Idehen
>President & CEO
>OpenLink Software
>Web: <http://www.openlinksw.com>http://www.openlinksw.com
>Weblog:
><http://www.openlinksw.com/blog/~kidehen>http://www.openlinksw.com/blog/~kidehen
>Twitter/Identi.ca: kidehen
>
>
>
>
--
Dieter Fensel
Director STI Innsbruck, University of Innsbruck, Austria
http://www.sti-innsbruck.at/
phone: +43-512-507-6488/5, fax: +43-512-507-9872